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Australia, Sydney


	Full time continuing (tenure-track) academic Lecturer Teaching and Research positions (equivalent to Assistant Professor) at The University of Sydney with a potential for an introductory teaching load reduction
	Intellectually stimulating and rewarding work environment in an ambitious team housed in a modern world-class facility 
	Base Salary Level B AUD$122,830 p.a. - AUD $145,858 p.a., with potential for a market loading, + 17% superannuation, 36-week paid parental leave and other generous benefits
	Substantial research start-up package and access to continued research support


About the opportunity

The University of Sydney welcomes applications for various academic disciplines outlined below, during an exciting and innovative time. With the introduction of the new University of Sydney Enterprise Agreement 2023-26, the University has committed to establishing and advertising new continuing teaching and research academic positions across the University of Sydney Business School.

You will have the opportunity to make a significant contribution to teaching in your field of expertise while you also continue to build substantial research contribution, expertise, connections, and impact. As part of this role, you will also contribute to the governance, leadership, and engagement work of your employing school.

Over time, staff appointed to these roles will be supported to engage with professional development opportunities to build their capability to lead change and improvement in teaching and research at the University. The University of Sydney is recognised as one of the top research and teaching universities in the world. A globally ranked university, ranked 18th in QS University World Rankings 2025, 1st for sustainability in Australia.

The University of Sydney Business School is one of the Asia Pacific region's premier centers for engaged and innovative business education and research, and is in the one percent of business schools globally to hold accreditation from AACSB,  EQUIS and AMBA. It is the only Australian member school of CEMS, the Community of European Management Schools & International Companies.

The Discipline of Business Analytics is a group of scholars working in the intersection of such quantitative fields as Econometrics and Statistics, Computer Science and Machine Learning, and Operations Research and Operations Management. We are engaged in all aspects of analysing data and building predictive and causal models to assist in business decision-making. The Discipline has research strengths in such areas as Bayesian and computational statistics, business and economic forecasting, financial and nonparametric econometrics, high-dimensional statistics, mathematical optimisation, quantitative risk management, scheduling theory, statistical machine learning, and supply chain management.

Teaching and Research Opportunities

The aims of these teaching and research roles are to attract and retain the best and brightest emerging academics. To support an uplift in the teaching and research capability and student experience at the University of Sydney, these positions are for talented researchers who also have a passion for, and demonstrated excellence in, pedagogical practice.

You will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation in your specialised field while you also continue to build substantial research contribution, expertise, connections and impact. As part of this role, you will also contribute to the governance, leadership, and engagement work of your employing school.

Successful candidates are expected to allocate their contributions as follows: 40% to teaching and related activities, 40% to research, and 20% to governance, leadership, and engagement.

Your key responsibilities will be to:


	contribute to existing and emerging research strengths of the School, including regular publication in journals of high standing within your discipline or area of expertise, pursuing research grants, and presenting and disseminating research findings through appropriate channels
	design and engage in cutting-edge, innovative and high-quality teaching and learning at the undergraduate and postgraduate level to large and culturally diverse student cohorts, according to the University's expectations and standards for education, delivering outstanding teaching and learning outcomes for students
	be involved in interdisciplinary collaborations within the University and with external partners
	contribute to academic governance, leadership, and engagement work in your school
	supervise research students
	maintain relevant Work, Health and Safety requirements
	develop and refine your research skills.


The University of Sydney is recognised as one of the top research and teaching universities in the world. We are excited to announce positions in Business Analytics. This posting is for a position with a focus on Machine Learning in Business. A concurrent posting is for a position with a focus on Econometrics and Business Statistics.

In these roles, you will be at the forefront of research in these growing fields, contribute to our dynamic and diverse teaching programs, and collaborate on innovative interdisciplinary projects.

To provide further insights into this role and into what it is like to work in the Discipline, we spoke with three of our esteemed faculty members: Qin Fang, Lecturer (Assistant Professor) of Business Analytics; Jie (Jessie) Yin, Associate Professor of Machine Learning; and Artem Prokhorov, Professor of Econometrics and Business Analytics and Deputy Head of Discipline. You can read the full interview here.

About you

The University values trust, accountability and excellence. As such, we see the importance of recruiting talented academics who align to these values and who will lead our teaching and research work at the university in the years to come. You will join a dynamic, engaged group in a highly collaborative and supportive teaching and research environment.

We are looking for candidates who can make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build their research contribution, expertise and impact. They will have a demonstrated ability to interact effectively with students, facilitating and guiding their learning in research, theory and laboratory sessions. They will also have the capacity to build a significant research program over time, obtaining competitive funding as needed to support their research work.

We are therefore looking for Teaching and Research Appointments who have:


	a PhD or nearly completed PhD in Computer Science, Machine Learning, or a related field
	an active research program with significant potential for future publications in field of specialisation
	evidence of high-quality teaching potential in field of specialisation and interest in or potential for teaching in interdisciplinary teams
	demonstrated capacity to stimulate, actively engage and educate a range of audiences using various media
	capacity to contribute to curriculum development
	potential for engagement and collaboration with partners from industry and government
	evidence of successful teamwork and a collegial approach.


Pre-employment checks

Your employment is conditional upon the completion of all role-required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

EEO statement

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds.

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion.

How to apply

Please prepare and upload your application, including a cover letter that indicates how you believe you meet the criteria outlined above in the "About you" of the advertisement (maximum 3 A4 pages), CV, job market paper, student evaluations (if available) and contact information for three letters of reference, and any additional supporting documentation via the Apply button at the top of the page.

Current employees of the University or contingent workers with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

Contact Information

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Justyn Griffin, Recruitment Partner. Recruitment Operations, Human Resources by email hr.recruitmentcampaign@sydney.edu.au

Copyright The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

Monday 16 December 2024 11:59 PM


The University of Sydney

United Kingdom, Southampton

Centre for Learning Anatomical Sciences, Faculty of Medicine

We are looking to recruit a Teaching Fellow to join our committed and enthusiastic team of anatomists in our goal to provide the highest quality student experience.?

The University of Southampton is a global centre for excellence in research and education and a founding member of the Russell Group. The Centre for Learning Anatomical Sciences (CLAS) is part of the Medical Education group, in the Faculty of Medicine.?We are located at Southampton General Hospital where we benefit from?a resource-rich creative environment and the close proximity of our clinical colleagues.

Our principal role is to develop and deliver human anatomy teaching and learning for undergraduates. Teaching areas include gross anatomy, microanatomy, developmental anatomy and neuroanatomy. Members of academic staff also have curriculum management and development roles in the Faculty and wider University.

In this role, you will focus initially on teaching anatomy to undergraduate medical students studying on the BMBS programmes. Your teaching contributions will include practical sessions, workshops and lectures and you will take a leadership role in the delivery of areas of provision e.g. cardiopulmonary etc. You will contribute to the setting and marking of assessments and the analysis and evaluation of anatomy teaching. There will be opportunities to develop and deliver innovative teaching and learning approaches in anatomy and you may contribute to courses for a range of postgraduate professionals including surgeons, anaesthetists and other health professionals. In addition, there will be opportunities to undertake leadership, management and engagement activities within the Faculty.?

We are seeking to appoint an enthusiastic medical/anatomy/science undergraduate degree or equivalent professional qualifications and experience in a related area. The successful candidate would have a detailed understanding and knowledge of anatomy and experience teaching anatomy within higher education. Experience teaching medical students would be desirable. ?

For additional information/informal enquiries before submitting your application, contact Skantha Kandiah, ?s.s.kandiah@soton.ac.uk

Please include a covering letter and full CV in your application.

Working at the University of Southampton:

Check out the?staff benefits?and why you should join us at The University of Southampton!


University of Southampton

India

Job Description:

Designations Available:

Assistant Professor?

Desired Skillset:


	Applicants should preferably hold a Ph.D. in the relevant subject from reputed Institutions.
	Should have sufficient experience in Teaching, Industry & Research with reputed Institutions.
	Should have research papers published in International / National Journals.
	Should have books published and Scholars awarded / currently working for.
	Applicants with patents registered / consultancy works carried out will be given preference.
	Exposure in handling high-value funded projects will be an added advantage


Preferred Qualifications:


	Ph.D. in relevant streams with good academic records


Responsibilities:

Academics:


	Classroom presentation
	Laboratory Instructions
	Development Learning of Resource Materials & Laboratory Development
	Student Assessment & Evaluation including Examination work of University.
	Participation in Co-curricular & extracurricular activities
	Student’s guidance, counseling & helping in their personal, ethical, moral, and overall character development
	Keeping abreast of new knowledge and skills, help to generate new knowledge and help dissemination of such knowledge through books, publications, seminars, handouts, etc.
	Continuing Education Activities Self-development through upgrading qualifications, Experience & Professional activities


Research Consultancy:


	Research development activities & Research guidance?
	Industry sponsored projects?
	Providing consultancy and testing services?
	Promotion of industry–institution interaction and R & D


Academic / Administration:


	Academic and Administrative management of the institution
	Policy planning, monitoring & evaluation, and promotional activities; both at the department level and institution level
	Design and development of a new programme.
	Preparing projects for funding in areas of R&D work, laboratory development, modernization, expansion, etc
	Administration both at departmental & institutional levels
	Development, administration, and management at Institutional levels
	Monitoring and evaluation of academic and research activities
	Participation in policy planning at the Regional / National level for the Development of Technical Education
	Helping mobilization of resources for the Institution?
	Develop, update and maintain MIS?
	Plan and implement Staff Development activities, conduct Performance Appraisal?
	Maintain Accountability?
	Extension / Industrial Connectivity?
	Interaction with Industry and Society?
	Participation in Community services?
	Providing R&D support and consultancy services to Industry and other user agencies?
	Providing non-formal modes of education for the benefit of the Community?
	Promotion of Entrepreneurship and Job rotation?
	Dissemination of knowledge?
	Providing Technical support in areas of social relevance


Apart from the above duties, any other relevant work is assigned by the Dean of the respective schools

Department:?VIT School of Agricultural Innovations and Advanced Learning (VAIAL)
Location:?Vellore, Tamil Nadu, India
Years Of Exp:?0 to 20 Years


Vellore Institute of Technology

Are you looking for a challenge where you can use your skills to make a real difference??Do you want to work for an organisation improving the health and care of the nation??Then we have a fantastic opportunity for you!?

We are currently recruiting for Assistant Finance & Contracts Managers which is a pivotal role that helps to ensure the effective delivery of the finance and contracts service within our?National Institute of Health and Care Research?(NIHR) co-ordinating centre.?

Who are we?

The NIHR funds, enables and delivers world-leading health and social care research that improves people's health and wellbeing and promotes economic growth. Our research helps turn discoveries into new or improved treatments, diagnostics, medical technologies and services. It provides those working in the NHS, public health, global health and social care with the evidence they need to better support patients, the public and people who need care.

Further information on the NIHR can be found at:?www.nihr.ac.uk. In particular, you are encouraged to review our?operational priorities?and to watch?this introductory video.

What will you be doing?

Working within the Finance and Contracts team you will be supporting the Finance Managers with the financial and contractual administration of research programmes. ?Some of the key tasks of the role are:


	Reviewing and approving contracts and contract variation documentation
	Reviewing projects financial reconciliation statements and proceeding tasks associated with financial assurance
	Releasing, monitoring and reprofiling project payments
	Providing support and advice on financial processes and procedures


Who are we looking for?

We are looking for candidates with a keen interest in the work we do and are highly numerate. We appreciate this is quite a unique finance role and we are able to offer training to ensure you are able to undertake all elements of the role. Some of the key skills we look for in a candidate are:?


	Comfortable with working with numbers?
	Ability to organise and prioritise your own workload
	Be analytical and self-motivated
	Able to work independently and problem solve as well as contributing to the wider team
	Good communication skills both verbal and written
	Proficient in the use of Microsoft office especially Excel


What can we offer you?

We recognise that our staff are at the heart of what we do so we make sure we look after you! As well as a generous benefits package (full details can be found?here!), as an organisation we prioritise your wellbeing as reflected in ?the?Mind Workplace Wellbeing awards, where we have achieved Gold for the fifth year in a row!?

Our hybrid working approach helps you with your work life balance and offers you the chance to split your time between office and home working. We strive for cohesive and collaborative teams so our expectation is you spend around 20% of your time in the office. We also know that personal development is important and have a range of ways to support you with this.?

To learn more about working in our teams visit our?website, ?or check out the video below:

For further information or an informal discussion, please contact Linday Mead:?L.k.mead@soton.ac.uk

**Please note when in post the job title will be Assistant Research Awards Manager.


CZK 60 500 – 80 700 and a 2-year start-up grant

Czech Republic, Brno

Department:?Department of Machine Learning and Data Processing?–?Faculty of Informatics
Deadline: 1 Dec 2024
Start date: By mutual agreement
Job type: full-time
Job field: Science and research? | ?Education and schooling

Dean of the Faculty of Informatics, Masaryk University announces an open competition for the position:

Assistant Professor in Bioinformatics

Number of open positions:?1
Application deadline:?1 December 2024
Working Hours:?full-time (40 hours per week)
Expected start:?By mutual agreement
Employment:?3-year initial contract (with possible extension -?tenure track; expected contract duration until January/February 2028)
Workplace:?Faculty of Informatics – Department of Machine Learning and Data Processing, Masaryk University, Botanická 68a, Brno
EU Researcher Profile:?Researcher 2
Salary: CZK 60?500 – 80?700 and a?2-year start-up grant

Job description key points

The position is focused on both research and teaching. The candidates are expected to carry out research of excellent quality in the area of?Bioinformatics?and take responsibility for selected courses included in the?Bioinformatics bachelor study program?and the specialization “Computational Systems Biology” within the?Bioinformatics master study program. In particular, the candidates should be able to prepare and deliver lectures and tutorials at the bachelor as well as master level in the following areas:


	genome sequence analysis;
	algorithms in bioinformatics;
	biological data processing and visualisation;
	computational systems biology;
	Python programming.


The candidates should show a?large amount of flexibility in teaching subjects that are not directly related to their particular areas of research. They are expected to supervise undergraduate as well as graduate students and attract research projects to fund their research activities.

The successful candidate must have


	PhD work related to bioinformatics;
	passion for problem-solving and a?desire for continuous improvement?in teaching skills;
	excellent research background in bioinformatics;
	flexibility in teaching subjects that are not directly related to candidate?s particular areas of research;
	succesfully defended Master and Bachelor thesis supervised;
	experience with consultancy of PhD students;
	experience with research/development project team work;
	experience from other countries than Czech & Slovak Republics (at least half a?year) or proof of other?extensive international?experience (e.g., international project?leadership);
	standard academic proficiency in English (ability to communicate fluently in English in an international academic setting -?both oral communication and writing/reading)(other language is an advantage);
	dynamic, flexible personality, able to work well in interdisciplinary and international teams.


Applicants should submit


	CV;
	copy of diploma from the highest level of education (notarial certification not required);
	cover letter explaining the candidate's?motivation for the position;
	information on previous university teaching experience (list of taught courses and list of supervised theses);
	information on scientific activities
	
		publications that meet a?high standard of quality, such as those with notable impact factors or from reputable conferences, e.g., ranking at least B in the CORE portal;
		research projects the candidate led or joined, etc.;
	
	
	title and abstract of a?lecture that can be presented as a?part of the application process;
	the names and contact details of three professional referees.


We offer


	an interesting job in a?prestigious university environment with international overlap and cooperation with the application sphere;
	career development and growth (e.g. university seminar series, courses provided by MU, participation in conferences, staff mobility training, participation in research projects, support of project department);
	relocation support and help from the Welcome Office MU;
	employee benefits such as 8 weeks of paid vacation per year, pension insurance contribution, Multisport card, vaccination allowance, childcare group at MU building (Komenského nám., Brno);
	workplace close to the centre of Brno with parking directly on the faculty premises.


Please submit your application, including all required documents, preferably online via the MU e-application (Please use the link in the e-application section below). In case this way of submission would not be possible, we also accept a?paper application with a?declaration of the reason for such a?submission.

The?selection process is based on the Open Transparent Merit-based Recruitment Policy. Faculty of Informatics holds the HR Excellence in Research Award. The rules of the selection processes at the Faculty of Informatics MU can be found at?Selection procedure | FI MU (muni.cz).

Once submitting your application successfully, you will receive an automatic confirmation email. Candidates successful in the first round of the selection process will be invited for an in-person interview or a?video-conference interview. Candidates who succeed in the second round will be invited to present a?public lecture.

Queries regarding the submission procedure?can be sent to HR Department:?pers@fi.muni.cz.

Queries regarding the position as such can be addressed to?Assoc. Prof. Hana Rudová, Head of?Department of?Machine Learning and Data Processing, hanka@fi.muni.cz.

Further information is available:


	Faculty of Informatics at?https://www.fi.muni.cz/
	Brno at?https://www.gotobrno.cz/en/



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The Rockefeller University